Location: Islamabad (Hybrid)
Job Group: Job Group 2

About the Role

Telenor Pakistan is looking for a talented Assistant Manager – Analytics & Data Science to drive the adoption of AI, Machine Learning, and advanced analytics across the organization.

In this role, you will develop and deploy data science models and AI solutions to support business strategy and decision-making. You will work closely with Business Units, Marketing, CLM, CVM, and other stakeholders to solve business problems through innovative data-driven approaches.

This position offers the opportunity to work with large datasets, advanced analytics tools, and modern AI technologies to deliver impactful business insights.

Key Responsibilities

Data Science & AI Solutions

• Solve complex business problems using AI/ML and data science techniques.

• Develop predictive models and machine learning algorithms.

• Apply ensemble modeling techniques to improve prediction accuracy.

• Design and deploy AI/ML solutions aligned with business objectives.

Data Management & Analysis

• Identify and integrate valuable data sources.

• Automate data collection and processing workflows.

• Perform data preprocessing for structured and unstructured datasets.

• Analyze large datasets to identify patterns, trends, and insights.

Business Collaboration

• Partner with business teams and commercial stakeholders to address operational challenges.

• Present insights through data visualization and analytical storytelling.

• Provide data-backed recommendations for strategic decisions.

• Conduct in-depth analysis of business processes to identify improvement opportunities.

Knowledge Sharing & Innovation

• Lead training sessions and knowledge-sharing workshops on AI/ML advancements, including LLMs and model updates.

• Promote a data-driven culture across the organization.

Key Performance Indicators (KPIs)

• Agile and iterative development of analytics and ML solutions.

• Demonstrated business value creation through data science initiatives.

• Proactive identification of innovative problem-solving approaches.

• Positive stakeholder feedback and collaboration outcomes.

• Effective engagement with internal and external stakeholders.

Typical Day at Work

• Identify business challenges that can be solved through AI/ML applications.

• Query and aggregate large datasets using SQL.

• Perform data preprocessing, modeling, and visualization using Python.

• Collaborate with cross-functional teams including:

  • Business Intelligence

  • Technology

  • Segments & Products

  • Sales & Distribution

  • Commercial teams

• Promote the use of data-driven decision-making across the organization.

Qualifications

Education

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field.

• Master’s degree in Analytics, Data Science, AI, or another quantitative discipline (preferred).

Experience

• Proven experience as a Senior Analyst, Data Scientist, or AI Engineer.

• 4–5 years of relevant experience preferred.

• Experience working with BI and Data Warehouse systems in telecom environments is a plus.

Required Skills & Knowledge

Technical Skills

• Strong knowledge of AI/ML algorithms, including:

  • k-NN

  • Naive Bayes

  • Support Vector Machines (SVM)

  • Random Forest

  • XGBoost

• Experience with statistical forecasting techniques.

• Proficiency in:

  • Python

  • SQL

  • R

• Familiarity with OOP concepts and languages like Java or C++ (a plus).

• Experience with Big Data frameworks such as Hadoop.

• Knowledge of Business Intelligence tools like Tableau.

• Experience with data visualization tools (e.g., Plotly, D3.js).

Analytical & Business Skills

• Strong analytical mindset with business acumen.

• Solid foundation in statistics and mathematics.

• Ability to translate data insights into business strategies.

• Strong communication and presentation skills.

Professional Skills

• Ability to work in a fast-paced and evolving environment.

• Strong collaboration and stakeholder management skills.

• Ability to work independently and navigate ambiguity.

Career Growth Opportunities

Experience in this role can open opportunities in several strategic areas within the organization, including:

• Commercial Strategy

• Segments & Products

• Marketing

• Corporate Strategy

• Digital Services

• Pricing & Revenue Optimization

Why Join Telenor Pakistan?

At Telenor Pakistan, we believe in creating a learning-driven and inclusive workplace where employees are empowered to grow and innovate.

Our culture is built around four guiding principles:

Always Explore

We encourage curiosity, experimentation, and continuous learning.

Create Together

Collaboration and diverse perspectives drive our best solutions.

Keep Promises

We value accountability, transparency, and integrity.

Be Respectful

We foster empathy, respect, and inclusivity across the organization.

Join us to work in a dynamic, innovative environment where your work can impact over 40 million users every day.

✅ Apply before: 19 March 2026